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	<title>Data Warehouse &#8211; Noise</title>
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		<title>Dimensional modeling in Amazon Redshift</title>
		<link>https://noise.getoto.net/2023/07/19/dimensional-modeling-in-amazon-redshift/</link>
		
		<dc:creator><![CDATA[Bernard Verster]]></dc:creator>
		<pubDate>Wed, 19 Jul 2023 19:34:02 +0000</pubDate>
				<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Data Warehouse]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
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					<description><![CDATA[Amazon Redshift is a fully managed and petabyte-scale cloud data warehouse that is used by tens of thousands of customers to process exabytes of data every day to power their analytics workload. You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model. Amazon Redshift […]]]></description>
		
		
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		<title>Get maximum value out of your cloud data warehouse with Amazon Redshift</title>
		<link>https://noise.getoto.net/2023/04/19/get-maximum-value-out-of-your-cloud-data-warehouse-with-amazon-redshift/</link>
		
		<dc:creator><![CDATA[Sana Ahmed]]></dc:creator>
		<pubDate>Wed, 19 Apr 2023 18:37:48 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Data Warehouse]]></category>
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					<description><![CDATA[Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. Data creation, consumption, and storage are predicted to grow to 175 zettabytes by 2025, forecasted by the 2022 IDC Global DataSphere report. As data […]]]></description>
		
		
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		<title>How SafetyCulture scales unpredictable dbt Cloud workloads in a cost-effective manner with Amazon Redshift</title>
		<link>https://noise.getoto.net/2023/03/16/how-safetyculture-scales-unpredictable-dbt-cloud-workloads-in-a-cost-effective-manner-with-amazon-redshift/</link>
		
		<dc:creator><![CDATA[Anish Moorjani]]></dc:creator>
		<pubDate>Thu, 16 Mar 2023 19:35:12 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[data build tool]]></category>
		<category><![CDATA[Data Warehouse]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[This post is co-written by Anish Moorjani, Data Engineer at SafetyCulture. SafetyCulture is a global technology company that puts the power of continuous improvement into everyone’s hands. Its operations platform unlocks the power of observation at scale, giving leaders visibility and workers a voice in driving quality, efficiency, and safety improvements. Amazon Redshift is a […]]]></description>
		
		
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		<title>Manage data transformations with dbt in Amazon Redshift</title>
		<link>https://noise.getoto.net/2022/08/03/manage-data-transformations-with-dbt-in-amazon-redshift/</link>
		
		<dc:creator><![CDATA[Randy Chng]]></dc:creator>
		<pubDate>Wed, 03 Aug 2022 17:33:44 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[data build tool]]></category>
		<category><![CDATA[Data Lineage]]></category>
		<category><![CDATA[Data Warehouse]]></category>
		<category><![CDATA[dbt]]></category>
		<category><![CDATA[ELT]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
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					<description><![CDATA[Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. Amazon Redshift enables you to use your data to acquire new insights for your business and customers while keeping costs low. Together with price-performance, […]]]></description>
		
		
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		<title>How to Accelerate Building a Lake House Architecture with AWS Glue</title>
		<link>https://noise.getoto.net/2021/08/24/how-to-accelerate-building-a-lake-house-architecture-with-aws-glue/</link>
		
		<dc:creator><![CDATA[Raghavarao Sodabathina]]></dc:creator>
		<pubDate>Tue, 24 Aug 2021 17:06:44 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
		<category><![CDATA[Data Lake]]></category>
		<category><![CDATA[Data Warehouse]]></category>
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					<description><![CDATA[Customers are building databases, data warehouses, and data lake solutions in isolation from each other, each having its own separate data ingestion, storage, management, and governance layers. Often these disjointed efforts to build separate data stores end up creating data silos, data integration complexities, excessive data movement, and data consistency issues. These issues are preventing […]]]></description>
		
		
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		<title>Bulldozer: Batch Data Moving from Data Warehouse to Online Key-Value Stores</title>
		<link>https://noise.getoto.net/2020/10/27/bulldozer-batch-data-moving-from-data-warehouse-to-online-key-value-stores/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Tue, 27 Oct 2020 13:42:43 +0000</pubDate>
				<category><![CDATA[batch processing]]></category>
		<category><![CDATA[Data Warehouse]]></category>
		<category><![CDATA[data-movement]]></category>
		<category><![CDATA[etl]]></category>
		<category><![CDATA[key-value-store]]></category>
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					<description><![CDATA[By Tianlong Chen and Ioannis PapapanagiotouNetflix has more than 195 million subscribers that generate petabytes of data everyday. Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to d...]]></description>
		
		
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